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    Enables AI assistants to read and drive a real, logged-in Firefox browser, including tabs, cookies, history, and site interactions, all through the Model Context Protocol.
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    MIT
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    TypeScript implementation of an MCP server that provides tools for web crawling, content extraction, and browser automation, enabling AI systems to access and process web content through 15 specialized tools.
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    MIT
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    A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a stealth browser engine to fetch pages, dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.
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    MIT
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    A CDP-native MCP server that lets AI agents drive a real Chrome browser with deep network/console inspection, robust page interaction, and the ability to reverse-engineer a site's API flow into runnable code with dependency chaining and replay verification.
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    MIT
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    Classic SEO suites charge heavily for link indexes. This MCP gives individuals and agencies a free, automatable path to: surface pages that mention a brand (linked or not), narrow guest-post and resource-page angles, see who links to competitors, verify whether a page links to you, and pull contact signals for outreach—all orchestrated by Claude or Cursor through typed tools instead of brittle cop
    MIT
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    MCP server for AI agents -- fetch any URL with full JavaScript rendering (Playwright/Chromium) and convert to clean, token-efficient markdown. Works on React, Vue, Angular, and any JS-heavy page. Includes web search, batch fetching, binary file download, LRU cache, SSRF protection, and structured output.
    12
    MIT
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    An extension-based MCP server that enables AI assistants to control your existing Chrome browser, leveraging your active login states and settings for automation. It provides over 20 tools for tasks like semantic tab search, screen capture, network monitoring, and direct element interaction.
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  • A
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    MCP server that fetches web pages, extracts clean markdown (reducing token count), caches results, and provides searchable reading history.
    MIT